Top Engineering Jobs in Edinburgh

Lead design and delivery of secure, scalable enterprise software for private banking. Build reusable frameworks, integrate AI/ML, ensure operational stability, mentor engineering teams, and influence senior stakeholders to drive digital transformation.

Build and maintain backend AI capabilities for GitLab Duo Chat: design flow components and agentic flows in Python/LangGraph, integrate LLMs and multi-agent orchestration, implement and maintain APIs in the Rails monolith, improve observability and reliability, and participate in on-call rotations and cross-functional collaboration to deliver safe, scalable AI chat features.

Lead and manage an ML engineering team building post-origination credit models for repayment, collections, recovery, and loss mitigation. Define technical strategy, design and scale ML solutions, partner with product, engineering and risk, mentor engineers, and operationalize models to minimize loan loss and personalize collections.

Lead and grow a Europe-based full-stack engineering team building the Affirm App and direct-to-consumer products across international markets. Own the full software lifecycle, set technical roadmaps, hire and develop engineers, ensure reliability and scalability for millions of users, and drive cross-functional alignment with product, design, data, and business partners.

Lead a team that integrates third-party and modular features into GitLab's Dedicated SaaS platform. Ensure high availability (99.99%+), drive operational excellence, automate toil, own incident management, prioritize via data, recruit and develop engineers, and use AI to boost productivity and guide technical strategy.

Lead the technical design and delivery of a global migration from SailPoint IdentityIQ to SailPoint Identity Security Cloud. Define future-state identity architecture, translate legacy workflows to cloud designs, drive integrations (directories, HR systems, SaaS), set engineering standards, manage risks and cutover, partner across functions, and coach engineering teams to improve controls, automation and maintainability.

Lead and grow a distributed Solutions Engineering team across the Nordics and BeNeLux to win complex enterprise deals. Hire, coach, and operate as a player-coach; drive technical discovery, solution design, demos, POVs, and executive presentations; run forecasting and SE operations; embed AI fluency and scale repeatable presales playbooks.

Design and deliver end-to-end features for DAP onboarding and repository/background flows. Build autonomous and scheduled agents that act on customer codebases, improve onboarding experience, collaborate on shared interfaces, review code and designs, and contribute to an async-first, distributed team's technical quality and ownership culture.

Lead a 0-to-1 pilot team to find and fix high-leverage SDLC friction, instrument system-level metrics (MRPM, pipeline success rate, latency), recruit and mentor four engineers, design and implement durable fixes, and drive adoption across engineering teams while reporting metric-driven outcomes to leadership.

Lead the full‑stack Switchboard team owning the Dedicated tenant management control panel. Hire and develop engineers, partner with Product and Design, set technical direction, ensure cross‑functional delivery, drive quality/security/performance improvements, and operate large‑scale distributed services with strong SLO and operational excellence.

Design, build, and operate the high-availability event and trigger system that links GitLab and third-party events to AI-powered Duo Flows. Work in GitLab's Rails monolith, scale for high throughput, influence architecture, add trigger types, collaborate cross-functionally, and participate in Tier 2/3 on-call rotations to troubleshoot production issues.

Manage distribution and automation engineering projects including charter development, budget and timeline tracking, supplier specifications and contracts, consultant engagement, coordination with internal teams, capital expenditure preparation, and oversight of construction/installation, testing, training, and startup. Role requires extensive travel (up to 75%).

Manage a technical team focused on Git and Git-related infrastructure, balancing upstream open-source work with GitLab priorities. Drive long-horizon scalability, performance, and architectural projects while fostering technical rigor, ownership, mentoring, and strong asynchronous communication across distributed teams.

Manage a cross-functional engineering team building GitLab Duo Chat's AI-powered features. Define requirements with product and UX, contribute to architecture for scalable agentic AI, drive delivery and roadmap execution, improve testing, observability, performance, and coach engineers to foster an inclusive, high-performing team.

As a Technical Recruiter at Wordsmith, you'll lead technical hiring for AI engineering roles, build talent pipelines, collaborate with engineering leaders, and manage recruitment processes to support rapid growth.

Lead strategy and day-to-day operations for global engineering IT infrastructure supporting semiconductor design workflows. Ensure availability, scalability, security, and automation of Linux platforms, HPC/compute farms, enterprise storage, revision control, and observability; drive 24x7 operations, capacity planning, cross-functional alignment, and engineering productivity.

Lead and grow a European engineering team focused on ownership and autonomy. Mentor engineers, influence product and technical specs, remain hands-on to debug and ship, and improve developer tooling, automation, and processes that increase team leverage.

Lead and grow a distributed engineering organization building customer-facing security capabilities: proprietary scanners, AI/ML detection engines, agentic remediation, vulnerability management, and security foundations. Set vision and roadmap, drive architecture and delivery, partner with product management, establish engineering standards, and represent the group in cross-functional and customer forums.

The Engineering Manager will lead a team to deliver high-quality software, balancing delivery and operational excellence while fostering team growth and adopting AI-native workflows.

Lead and grow a data engineering team; design and deliver scalable data pipelines, platforms, and data products; mentor engineers; collaborate with product, data science, and business stakeholders; ensure data quality, governance, reliability, and continuous improvement.

Provide strategic and technical leadership for ports and maritime engineering across civil, structural, geotechnical and maritime disciplines. Guide technical strategy, governance, and assurance; advise senior stakeholders; support delivery of complex programmes from concept to construction; mentor engineers; and ensure safe, high-quality, commercially aware, and buildable solutions across multidisciplinary teams.

Lead and grow an analytics engineering team to build self-service analytics: own semantic layer, core dbt models, dashboards, and Lightdash adoption. Establish governance, modeling standards, testing, documentation, and enablement while partnering with analysts and Data Engineering to deliver scalable, production-quality data products.

Leads and grows an agentic engineering team building reliable AI development systems. Sets technical direction for agent harnesses, integrations, workflows, model-provider abstractions, tool use, context management, and long-running execution. Partners with Product and Design, contributes to architecture and implementation, improves system reliability and performance, and coaches engineers while maintaining strong execution standards.

Lead the engineering team responsible for Testlio’s core platform capabilities. Set technical direction, own delivery and roadmap execution, modernize legacy systems, and build production agentic workflows using AI. Contribute hands-on through coding, architecture, reviews, production support, reliability improvements, and observability. Partner with product and AI/ML teams while mentoring engineers, improving development standards, and reducing technical debt.

Leads data engineering teams building scalable, governed data products and platforms. Responsibilities include overseeing architecture, ingestion pipelines, orchestration, governance, security, access control, performance optimization, and Bronze/Silver/Gold data layers. The role manages delivery of analytics-ready datasets at very large scale, coaches engineers, and partners with analytics, business, and customer stakeholders to produce actionable operational and financial insights.